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Validation of TRMM Precipitation Radar satellite data over Indonesian region

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Abstract

Research has been conducted to validate monthly and seasonal rain rates derived from the Tropical Rainfall Measuring Mission Precipitation Radar (PR) using rain gauge data analysis from 2004 to 2008. The study area employed 20 gauges across Indonesia to monitor three Indonesian regional rainfall types. The relationship of PR and rain gauge data statistical analysis included the linear correlation coefficient, the mean bias error (MBE), and the root mean square error (RMSE). Data validation was conducted with point-by-point analysis and spatial average analysis. The general results of point-by-point analysis indicated satellite data values of medium correlation, while values of MBE and RMSE tended to indicate underestimations with high square errors. The spatial average analysis indicated the PR data values are lower than gauge values of monsoonal and semi-monsoonal type rainfall, while anti-monsoonal type rainfall was overestimated. The validation analysis showed very good correlation with the gauge data of monsoonal type rainfall, high correlation for anti-monsoonal type rainfall, but medium correlation for semi-monsoonal type rainfall. In general, the statistical error level of monthly seasonal monsoonal type conditions is more stable compared to other rainfall types. Unstable correlations were observed in months of high rainfall for semi-monsoonal and anti-monsoonal type rainfall.

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References

  • Adeyewa ZD, Nakamura K (2003) Validation of TRMM radar rainfall data over major climatic regions in Africa. J Appl Meteorol 42:331–347

    Article  Google Scholar 

  • Adler RF, Huffman GJ, Bolvin DT, Curtis S, Nelkin EJ (2000) Tropical rainfall distributions determined using TRMM combined with other satellite and rain gauge information. J Appl Meteorol 39:2007–2023

    Article  Google Scholar 

  • Aldrian E, Susanto DR (2003) Identification of three dominant rainfall regions within Indonesia and their relationship to sea surface temperature. Int J Climatol 23:1435–1452

    Article  Google Scholar 

  • As-syakur AR (2011) Status of the TRMM level 3 in Indonesia. 2nd CReSOS International Symposium on South East Asia Environmental Problems and Satellite Remote Sensing, 21–22 February 2011, Denpasar, Bali, Indonesia

  • As-syakur AR, Tanaka T, Prasetia R, Swardika IK, Kasa IW (2011) Comparison of TRMM multisatellite precipitation analysis (TMPA) products and daily–monthly gauge data over Bali. Int J Remote Sens 32:8969–8982

    Article  Google Scholar 

  • Barrett EC, Dodge J, Goodman HM, Janowiak J, Kidd C, Smith EA (1994) The First WetNet Precipitation Intercomparison Project (PIP-1). Remote Sens Rev 11:49–60

    Article  Google Scholar 

  • Feidas H (2010) Validation of satellite rainfall products over Greece. Theor Appl Climatol 99:193–216

    Article  Google Scholar 

  • Franchito SH, Rao VB, Vasques AC, Santo CME, Conforte JC (2009) Validation of TRMM precipitation radar monthly rainfall estimates over Brazil. J Geophys Res 114:D02105. doi:10.1029/2007JD009580

    Article  Google Scholar 

  • Gabella M, Athanasatos S, Notarpietro R, Michaelides S (2008) Climatological validation of TRMM radar monthly rainfall amounts over Cyprus during the first 8 years (December 1997–November 2005). 5th European Conference on Radar in Meteorology and Hydrology, 21–25 July 2008, Helsinki, Finland

  • Haylock M, McBride JL (2001) Spatial coherence and predictability of Indonesian wet season rainfall. J Clim 14:3882–3887

    Article  Google Scholar 

  • Ichikawa H, Yasunari T (2006) Time–space characteristics of diurnal rainfall over Borneo and surrounding oceans as observed by TRMM-PR. J Clim 19:1238–1260

    Article  Google Scholar 

  • Iguchi T, Kozu T, Meneghini R, Awaka J, Okamoto K (2000) Rain-profiling algorithm for the TRMM precipitation radar. J Appl Meteorol 39:2038–2052

    Article  Google Scholar 

  • Iguchi T, Kozu T, Kwiatkowski J, Meneghini R, Awaka J, Okamoto K (2009) Uncertainties in the rain profiling algorithm for the TRMM precipitation radar. J Meteorol Soc Jpn 87A:1–30

    Article  Google Scholar 

  • Kawanishi T, Kuroiwa H, Kojima M, Oikawa K, Kozu T, Kumagai H, Okamoto K, Okumura M, Nakatsuka H, Nishikawa N (2000) TRMM precipitation radar. Adv Space Res 25:969–972

    Article  Google Scholar 

  • Kubota H, Numaguti A, Emori S (2004) Numerical experiments examining the mechanism of diurnal variation of tropical convection. J Meteorol Soc Jpn 82:1245–1260

    Article  Google Scholar 

  • Kuhnel I (1989) Spatial and temporal variations in Australo-Indonesian region cloudiness. Int J Climatol 9:395–405

    Article  Google Scholar 

  • Liao L, Meneghini R (2009) Validation of TRMM precipitation radar through comparison of its multiyear measurements with ground-based radar. J Appl Meteorol Climatol 48:804–817

    Article  Google Scholar 

  • Masunaga H, Iguchi T, Oki R, Kachi M (2002) Comparison of rainfall products derived from TRMM microwave imager and precipitation radar. J Appl Meteorol 41:849–862

    Article  Google Scholar 

  • McCollum JR, Krajewski WF, Ferraro RR, Ba MB (2002) Evaluation of biases of satellite rainfall estimation algorithms over the continental United States. J Appl Meteorol 41:1065–1080

    Google Scholar 

  • Meneghini R, Kozu T, Jones JA, Iguchi T, Okamoto K (1998) Estimates of path attenuation for the TRMM radar. Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS ’98. 1998 IEEE Int 4:1882–1884. doi:10.1109/IGARSS.1998.703683

  • Meneghini R, Jones JA, Iguchi T, Okamoto K, Kwiatkowski J (2001a) Statistical methods of estimating average rainfall over large space–timescales using data from the TRMM precipitation radar. J Appl Meteorol 40:568–585

    Article  Google Scholar 

  • Meneghini R, Iguchi T, Jones JA, Kozu T, Liao L, Takahashi N (2001b) Calibration techniques for the TRMM PR. Preprints, American Meteorological Society, Workshop on Radar Calibration, 13–14 January 2001, Albuquerque, New Mexico

  • Mori S, Jun-Ichi H, Tauhid YI, Yamanaka MD, Okamoto N, Murata F, Sakurai N, Hashiguchi H, Sribimawati T (2004) Diurnal land–sea rainfall peak migration over Sumatera Island, Indonesian Maritime Continent, observed by TRMM Satellite and intensive rawinsonde soundings. Mon Weather Rev 132:2021–2039

    Article  Google Scholar 

  • Nakazawa T, Rajendran K (2008) 10-year climatology of tropical rainfall characteristics from TRMM Data. 28th Conference on Hurricanes and Tropical Meteorology, 28 April–2 May 2008, Orlando, Florida, USA

  • NASDA (2001) TRMM Data Users Handbook. National Space Development Agency of Japan, Earth Observation Center, Japan

    Google Scholar 

  • NASDA EORC and PR Team (2001) How raising TRMM’s altitude to 400 km impacts PR operation. http://www.eorc.jaxa.jp/TRMM/reentory/pdf/PR_Impact_e.pdf. Accessed 3 Jan 2012

  • Okamoto K, Ishido Y, Meneghini R (1998) TRMM Precipitation Radar algorithms. J Remote Sens Soc Jpn 18:448–459

    Google Scholar 

  • Okamoto K, Meneghini R, Iguchi T, Awaka J, Takahashi N, Shimizu S, Kwiatkowski J, Stout J (2004) TRMM Precipitation Radar Version 6 Algorithms. 2nd TRMM International Science Conference, 6–10 September 2004, Nara, Japan

  • Okamoto K, Ushio T, Iguchi T, Takahashi N, Iwanami K (2005) The global satellite mapping of precipitation (GSMaP) project. Geoscience and Remote Sensing Symposium, 2005. IGARSS ’05. Proceedings. 2005 IEEE Int 5:3414–3416 doi:10.1109/IGARSS.2005.1526575

  • Okamoto K, Meneghini R, Iguchi T, Awaka J, Shimizue S (2008) TRMM PR algorithms version 6 status and plans for version 7. Proc SPIE 7152:715208. doi:10.1117/12.804932

    Article  Google Scholar 

  • Okamoto K, Meneghini R, Iguchi T, Awaka J, Shimizu S, Yoshida N, Higashiuwatoko T (2010) Recent status of TRMM PR and TRMM PR algorithms. 6th European Conference on Radar in Meteorology and Hydrology: Advances in Radar Technology, 6–10 September 2010, Sibiu, Romania

  • Ramage CS (1971) Monsoon meteorology. International geophysics series, vol. 15. Academic Press, San Diego

  • Robinson M, Kulie MS, Silberstein DS, Marks DA, Wolff DB, Amatai E, Ferrier BS, Fisher BL, Wang J (2000) Evolving improvements to TRMM ground validation rainfall estimates. Phys Chem Earth, Part B: Hydrol, Oceans Atmos 25:971–976

    Article  Google Scholar 

  • Ropelewski CF, Halpert MS (1987) Global and regional scale precipitation patterns associated with the El Niño–Southern Oscillation. Mon Weather Rev 115:1606–1626

    Article  Google Scholar 

  • Rudolf B, Hauschild H, Rüth W, Schneider U (1996) Comparison of rain gauge analyses, satellite-based precipitation estimates and forecast model results. Adv Space Res 18:53–62

    Article  Google Scholar 

  • Saji NH, Yamagata T (2003) Possible impacts of Indian Ocean dipole mode events on global climate. Clim Res 25:151–169

    Article  Google Scholar 

  • Schumacher C, Houze RA (2003) The TRMM precipitation radar’s view of shallow, isolated rain. J Appl Meteorol 42:1519–1524

    Article  Google Scholar 

  • Shige S, Watanabe T, Sasaki H, Kubota T, Kida S, Okamoto K (2008) Validation of western and eastern Pacific rainfall estimates from the TRMM PR using a radiative transfer model. J Geophys Res 113:D15116. doi:10.1029/2007JD009002

    Article  Google Scholar 

  • Shimizu S, Oki R, Igarashi T (2001) Ground validation of radar reflectivity and rain rate retrieved by the TRMM Precipitation Radar. Adv Space Res 28:143–148

    Article  Google Scholar 

  • Short DA, Nakamura K (2000) TRMM radar observations of shallow precipitation over the tropical oceans. J Clim 13:4107–4124

    Article  Google Scholar 

  • Tabata Y, Hashiguchi H, Yamamoto MK, Yamamoto M, Yamanaka MD, Mori S, Syamsudin F, Manik T (2011) Observational study on diurnal precipitation cycle in equatorial Indonesia using 1.3-GHz wind profiling radar network and TRMM precipitation radar. J Atmos Solar-Terr Phys 73:1031–1042

    Article  Google Scholar 

  • TRMM PR Team (2005) Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar Algorithm Instruction Manual For Version 6. Japan Aerospace Exploration Agency (JAXA)–National Aeronautics and Space Administration (NASA). http://www.eorc.jaxa.jp/TRMM/document/pr_manual/pr_manual_v6.pdf. Accessed 18 Dec 2009

  • Ushio T, Kubota T, Shige S, Okamoto K, Aonashi K, Inoue T, Takahashi N, Iguchi T, Kachi M, Oki R, Morimoto T, Kawasaki Z (2009) A Kalman filter approach to the Global Satellite Mapping of Precipitation (GSMaP) from combined passive microwave and infrared radiometric data. J Meteorol Soc Jpn 87A:137–151

    Article  Google Scholar 

  • Wolff DB, Marks DA, Amitai E, Silberstein DS, Fisher BL, Tokay A, Wang J, Pippitt JL (2005) Ground validation for the Tropical Rainfall Measuring Mission (TRMM). J Atmos Ocean Technol 22:365–380

    Article  Google Scholar 

  • Wyrtki K (1961) Physical oceanography of the Southeast Asian waters. NAGA Report, vol. 2. Scripps Institution of Oceanography, University of California, San Diego

    Google Scholar 

  • Xie P, Arkin PA (1996) Analyses of global monthly precipitation using gauge observations, satellite estimates, and numerical model predictions. J Clim 9:840–858

    Article  Google Scholar 

  • Zhou L, Wang J (2006) Tropical Rainfall Measuring Mission observation and regional model study of precipitation diurnal cycle in the New Guinean region. J Geophys Res 111:D17104. doi:10.1029/2006JD007243

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by BMKG and JAXA mini ocean projects in Indonesia. We gratefully acknowledge data received from the following organizations: TRMM PR V6 data from the National Aeronautics and Space Administration (NASA) and the Japan Aerospace Exploration Agency (JAXA); and rain gauge data from the Indonesian Meteorology, Climatology, and Geophysics Agency (BMKG).

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Authors and Affiliations

  1. Indonesian Meteorology, Climatology, and Geophysics Agency (BMKG), Denpasar, Bali, 82213, Indonesia

    Rakhmat Prasetia

  2. Center for Remote Sensing and Ocean Science (CReSOS), Udayana University, PB Sudirman Street, Denpasar, Bali, 80232, Indonesia

    Rakhmat Prasetia, Abd. Rahman As-syakur & Takahiro Osawa

  3. Environmental Research Center (PPLH), Udayana University, Denpasar, Bali, 80232, Indonesia

    Abd. Rahman As-syakur

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  1. Rakhmat Prasetia
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  2. Abd. Rahman As-syakur
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Correspondence to Abd. Rahman As-syakur.

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Prasetia, R., As-syakur, A.R. & Osawa, T. Validation of TRMM Precipitation Radar satellite data over Indonesian region. Theor Appl Climatol 112, 575–587 (2013). https://doi.org/10.1007/s00704-012-0756-1

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